Programme Level

Under Graduate

Duration

4 Years

program-banner
About the Programme

Program Overview

The Artificial Intelligence & Machine Learning (AIML) program at Ballari Institute of Technology & Management (BITM) offers comprehensive education at both undergraduate (B.E.) and Ph.D. levels. The B.E. program, spanning four years, provides a strong foundation as per the industry requirements.

eligibility-criteria

The curriculum emphasizes practical learning through labs, projects, and internships, preparing graduates for careers in software development.

The department has signed MoU’s with infosys, RPA to provide training and internships. The department regularly conducts workshops for students and faculty, student development programs, faculty development programs. The students are encouraged and motivated to participate in conferences, workshops, training programs, and hackathons conducted in the institute as well as outside.

Eligibility Criteria

Students who have passed Karnataka 2nd PUC/ 12th Std, / 10+2 / Intermediate or equivalent exam with Physics & Mathematics along with Chemistry/ Computer Science / Biology and any other optional subject with English as one of the languages of study and should have obtained a minimum of 45% marks. For SC/ST & other backward classes of Karnataka students only, the minimum marks is 40% in aggregate in the optional subjects in the qualifying examination, irrespective of marks obtained in the Common Entrance Test / COMED-K/ AIEEE. (Eligibility as per the Govt. Norms from time to time.)

Career Options

A degree in Artificial Intelligence & Machine Learning

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Machine Learning Engineer

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Data Scientist

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AI Research Scientist

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AI Product Manager

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Computer Vision Engineer

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Natural Language Processing (NLP) Engineer

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Robotics Engineer

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Business Intelligence Developer

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AI Ethics Specialist

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Quantitative Analyst

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AI Consultant

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Full-Stack Developer with AI Expertise

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Teaching/Academia

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Entrepreneur

Program Fees

Duration

4 Years

Program

Artificial Intelligence & Machine Learning (AIML)

Type
  • SNQ
  • CET
  • COMED-K
  • MANAGEMENT
Amount
  • Rs. 46,360/-
  • Rs. 1,22,495/-
  • Rs. 3,070,87/-
  • Rs. 2,65,000/-
Admission Process

Students who have passed Karnataka 2nd PUC / 12th std / 10+2 / Intermediate or equivalent exam with Physics & Mathematics along with Chemistry / Computer Science / Biology and any other optional subject with English as one of the languages of study and should have obtained a minimum of 45% marks.

program details

For SC/ST & Other backward classes of Karnataka students only, the minimum marks is 40% in aggregate in the optional subjects in the qualifying examination, irrespective of marks obtained in the Common Entrance Test / COMED-K / AIEEE / any other equivalent entrance examinations. (Eligibility as per the Govt. Norms from time to time).

Programme Educational Objectives (PEOs)

PEO-1

Accomplish a progressive career by applying fundamental principles and design methodologies of computer science and engineering.

PEO-2

Provide practical solutions to solve problems of industry and society at large.

PEO-3

Exhibit professionalism through managerial skills and develop innovative products.

Program Curriculum 2022 Scheme

Sl No Course code Course Name
1 22MATS11 Mathematics for CSE Stream-I
2 22PHYS12 Physics for CSE stream
3 22POP13 Principles of Programming Using C
4 22ESC14x Engineering Science Course-I

5
22ETC15x Emerging Technology Course-I
Or
22PLC15x Programming Languages Course-I
6 22ENG16 Communicative English
7 22KSK17
22KBK17
Samskrutika Kannada/ Balake Kannada
Or
20ICO17 Indian Constitution
8 2IDT18 Innovation and Design Thinking
Or
22SFH18 Scientific Foundations of Health

Sl No Course code Course Name
1 22MATS21 Mathematics for CSE Stream -II
2 22PHYS22 Physics for CSE Stream
3 22POP23 Principles of Programming Using C
4 22ESC24x Engineering Science Course-II
5 22ETC25x Programming Language Course-II
Or
22PLC25x Emerging Technology Course-II
6 22PWS26 Professional Writing Skills in English
7 22KSK2722KBK27 Samskrutika Kannada/ Balake Kannada
Or
20ICO27 Indian Constitution
8 22IDT28 Innovation and Design Thinking
Or
22SFH28 Scientific Foundations of Health

Sl No Course code Course Name
1 22MDA31 Graph theory and Discreet Mathematical Structures
2 22AI32 Digital System Design and Computer Organization
3 22AI33 Operating System
4 22AI34 Data Structures and Applications
5 22AIL35 Data Structures Lab
6 22AI36 ESC/ETCbr /LC
Object Oriented Programming
With JAVA
7 22SC37 Social Connect and
Responsibility
8 22AI38X Ability Enhancement Course / Skill Enhancement Course - III
9 22NS39 National Service Scheme (NSS)
22PE39 Physical Education (PE) (Sports and Athletics)
22YO39 Yoga

Sl No Course code Course Name
1 22BB41 Biology for Engineers
2 22AI42 Principles of Artificial Intelligence
3 22AI43 Database Management Systems
4 22AI44 Analysis and Design of Algorithms
5 22AIL45 Algorithms Lab
6 22AI46X ESC/ETC/PLC
7 22PSW47 Professional Skills for the work place
8 22UH48 Universal human values course
9 22NS49 National Service Scheme (NSS)
22PE49 Physical Education (PE) (Sports and Athletics)
22YO49 Yoga
Engineering Science Course (ESC/ETC/PLC)
22AI461 System Software 22AI462 Object Oriented Programming with Python
22AI463 Introduction to Data Analytics

Sl No Course code Course Name
1 22AI51 Software Engineering & Project
Management
2 22AI52 Computer Networks
3 22AI53 Machine Learning
4 22AIL54 Machine Learning Lab
5 22AI55X Professional Elective Course
6 22AIMN56 Mini Project
7 22ADA57 Ability Enhancement Course /
Skill Development Course
8 22ES58 Environmental Studies
9 22NS59 National Service Scheme (NSS)
22PE59 Physical Education (PE)
(Sports and Athletics)
22YO59 Yoga
PROFESSIONAL ELECTIVE COURSES
22AI551 Automata Theory & Compiler Design
22AI552 Computer Graphics & Visualization
22AI553 NoSQL
22AI554 UI / UX

Sl No Course code Course Name
1 IPCC
22AI61
Cloud Computing with AWS
2 PCC
22AI62
Android Mobile Application Development
3 PEC
22AI63X
Professional Elective Course
4 OEC
22EC64X
Open Elective Course
5 PROJ
22AIP65
Project Work – Phase I
6 PCCL
22AILL66
Android Mobile Application Development Laboratory
7 AEC
22RM67
Research Methodology & IPR
8 22NS68 National Service Scheme (NSS)
22PE68 Physical Education (PE)
(Sports and Athletics)
22YO68 Yoga for a better life
PROFESSIONAL ELECTIVE COURSES
22AI631 DevOps
22AI632 Natural Language Processing
22AI633 Data Visualization with Power BI
22AI634 Block Chain Technology
OPEN ELECTIVE COURSES
22AI641 Data Structures and Applications
22AI642 Data Base Management System
22AI643 Operating System
22AI644 UI / UX
Admission to Higher Semester:
  • After the announcement of the reopening date of the college, the candidates have to register for the admission with an application enclosing all the photos copies of previous semesters marks card/s through their department HOD and they have to pay the applicable Tuition Fees / Registration Fees within a week of reopening the institute for class work.
  • The students who fail to register within the first week of re-opening, the student will be charged a penalty
  • The names of the students will be deleted, in case they fail to register as per the schedule
  • Any financial matters are required to be referred to the principal only
  • Once the student is admitted he/she will be under the guidance of the department and all the academic matters should be addressed through the Head of the department only.
  • Students are expected to maintain discipline in the college campus & not to indulge in “Ragging Activities”.

FAQs

A degree in CSE (AI & ML) opens doors to roles like data scientist, AI engineer, machine learning engineer, and research scientist, as well as opportunities in sectors such as healthcare, finance, automotive, and entertainment.

While traditional computer science focuses on software development and problem-solving, AI & ML emphasize creating systems that can learn and make data-driven decisions independently, which is essential for applications like predictive analytics, computer vision, and more.

Coding is essential, but CSE (AI & ML) also involves problem-solving, statistical analysis, and an understanding of data patterns. It combines technical skills with a focus on real-world applications, creativity, and critical thinking.

CSE (AI & ML) emphasizes ethical AI practices and sustainable computing. As AI systems impact society, professionals must consider factors like data privacy, fairness, and energy efficiency.

CSE (AI & ML) intersects with fields like robotics, bioinformatics, and neuroscience, allowing for research and development of systems that can, for example, assist in medical diagnostics, create intelligent automation, or enhance human-computer interaction.

By developing intelligent computing systems, CSE (AI & ML) helps solve global challenges—ranging from climate change modelling to advancements in healthcare diagnostics, aiding in the transformation of various sectors.